A simple model to learn relation embedding between words using an unlabelled corpus (ukWaC) and evaluated with 3 labeled datasets (BLESS, EVALuation1.0, EACL dataset for antonym and synonym distinction)
Use the following steps to preprocess data, execute and evaluate the model.
* Preprocess the Corpus [Go to /Preprocess]
* Run the Model [Go to /Model]
* Perform the Evaluation [Go to /Evaluation]
* For additional experiments [Go to /Extras]
Please use the following citation to refer to this work/dataset:
@article{chingacham2018generalizing,
title={Generalizing Representations of Lexical Semantic Relations},
author={Chingacham, Anupama and Paperno, Denis},
journal={Computational Linguistics CLiC-it 2018},
pages={111},
year={2018}
}
* How We BLESSed Distributional Semantic Evaluation [Baroni, Marco and Lenci, Alessandro]
* EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models [Santus, Enrico; Yung, Frances; Lenci, Alessandro and Huang, Chu-Ren ]